Development of Analysis Technology for Patient Safety by the Use of Gaze Interaction: Automatic Identification of Visual Information Processing Errors

2017 Fiscal Year Final Research Report

• Project/Area Number: 16K12824
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Social systems engineering/Safety system
• Research Institution: Tokyo Institute of Technology
• Principal Investigator: Itoh Kenji 東京工業大学, 工学院, 教授 (80159871)
• Co-Investigator(Kenkyū-buntansha): 青木 洋貴 東京工業大学, 工学院, 准教授 (00322090) ; 顧 秀珠 東京工業大学, 工学院, 助教 (20632615)
• Research Collaborator: Andersen Henning Boje Technical University of Denmark, 教授 ; Hansen John Paulin Technical University of Denmark, 教授 ; SUZUKI Satoshi 神奈川工科大学, 工学部, 教授
• Project Period (FY): 2016-04-01 – 2018-03-31
• Keywords: 眼球注視技術 / アイトラッカー / ヒューマンエラー / 注視インターフェース / 電子カルテ / 医療安全

Outline of Final Research Achievements

In this research project, we constructed an applied technology of eye tracking to healthcare management for reduction of healthcare accidents, and explored its effectiveness, pros and cons for the future, full-scale usage of the technology through its application to actual tasks in healthcare settings. In this study, we developed an application system to risk management by the use of a low-cost, non-intrusive eye-tracker, which collects healthcare personnel's visual processing data during their task performance without their consciousness of data gathering. The collected data can be analysed as their cognitive processes and be applied to automatically capturing human errors by effective matching between a particular task case and its successful samples stored in the database. This application technology was implemented to physician’s prescription when using electronic patient record, and technician’s operation of a dialysis machine to evaluate its effectiveness and usefulness.

Free Research Field

経営工学